Open Source Mac Data Visualization Software - Page 24

Bouquet is a graph generator written in ANSI Common Lisp. Bouquet produces Tulip graph description files; clusters and properties are supported.

Braket.jl is not an officially supported AWS product. This package is a Julia implementation of the Amazon Braket SDK allowing customers to access Quantum Hardware and Simulators. This is experimental software, and support may be discontinued in the future. For a fully supported SDK, please use the Python SDK. We may change, remove, or deprecate parts of the API when making new releases. Please review the CHANGELOG for information about changes in each release.

Statistics and stochastic calculus for Markov processes in continuous time, include univariate and multivariate stochastic processes such as stochastic differential equations or diffusions (SDE's) or Levy processes.

Britecharts is a client-side reusable Charting Library based on D3.js v5 that offers easy and intuitive use of charts and components that can be composed together to create amazing visualizations. Britecharts components have been written in ES2016 with a Test Driven methodology, so they are fully tested, and we are committed to keeping them that way. The typical use of Britecharts involves creating a chart using its simple API, then rendering it on a container that has previously had data applied to it. All the components expose some common API methods like width, height, and margin. Additionally, each chart or component can expose specific methods you can find in the documentation. Britecharts components are distributed in UMD modules, each one exposing a D3.js component written with the Reusable API pattern. To use any of the Britecharts modules, you will need to require the chart in your JS file using AMD/CommonJS modules or adding a script tag with the src pointing to the file.

Bukdu.jl is a web development framework for Julia.

Burrow-owl is a software package for visualizing multidimensional nuclear magnetic resonance (NMR) spectra, with an emphasis on spectra used in macromolecular structure determination.

CASIMIR is a web-based PHP/MySQL interface which controls over SSH-secured connexions qemu/kvm virtual machines dispatched over several physical servers. It also provides to administrators the ability to delegate control of these machines to other users.

HCI for audiovisual live performance exploiting physical computing. Transform your standard musical instrument - electric bass, guitar, violin, piano etc - in an augmented tool, an audiovideo controller without exploiting any specific ext. hardware.

A project for providing Mac OS X binary packages of open source CAE (computer aided engineering) tools.

Use CBinding.jl to automatically create C library bindings with Julia at runtime. In order to support the fully automatic conversion and avoid name collisions, the names of C types or functions are mangled a bit to work in Julia. Therefore everything generated by CBinding.jl can be accessed with the c"..." string macro to indicate that it lives in C-land. As an example, the function func above is available in Julia as c"func". It is possible to store the generated bindings to more user-friendly names (this can sometimes be automated, see the j option). Placing each C declaration in its own macro helps when doing this manually.

A Java program to enable users to comprehend the "Contraction and Convergence" model for reduction in carbon emissions as proposed by the Global Commons Institute. Intended primarily as a demo for government delegates at UN conferences

Support software for CRBS/NCMIR CCDB project

CEGA is a highly extendable layout plugin for Cytoscape based on an Evolutionary Algorithm. In contrast to other layout algorithms, CEGA lets users decide which features are important for the visualization of their graphs.

"cif2tribes" is a console-based tool for converting integrated circuit layouts into maps usable in the game Tribes 2, as a 3D visualization aid. The project code is modular enough to be easily extended to different game engines and input file formats.

CIG-P is a higher order visualization tool for AP-MS which generates intuitive circular diagrams for visually appealing final representation of AP-MS data. CIG-P can be used to compare a) different AP-MS datasets of various baits or b) a particular bait under various perturbations (lenticular section CIG-P). The output of CIG-P is a simple and intuitively easy to grasp visualization of a complex dataset. Publication: CIG-P: Cicular Interaction Graph for Proteomics http://www.biomedcentral.com/1471-2105/15/344/ Previously known as PIVOT (Protein Interaction Visualization and Observation Tool)

Graphical editor for the Common Information Model (CIM) built on the Eclipse RCP and with EMF and GMF.

CLIChart is for quick summarising and visualisation of data, especially from system logs. It extracts summary data from text files, and generates simple charts from tabular data on the command line (CLI). Charts can be displayed in a window or saved.

In machine learning, a classifier assigns a class label to a data point. For example, an image classifier produces a class label (e.g, bird, plane) for what objects exist within an image. A convolutional neural network, or CNN for short, is a type of classifier, which excels at solving this problem! A CNN is a neural network: an algorithm used to recognize patterns in data. Neural Networks in general are composed of a collection of neurons that are organized in layers, each with their own learnable weights and biases. Let’s break down a CNN into its basic building blocks. A tensor can be thought of as an n-dimensional matrix. In the CNN above, tensors will be 3-dimensional with the exception of the output layer. A neuron can be thought of as a function that takes in multiple inputs and yields a single output. The outputs of neurons are represented above as the red → blue activation maps.

Conditioners for advanced COLLADA effect profiles. Available as a standalone commandline tool, and as a plugin for COLLADA Refinery.

COV2HTML provides an easy and 'in home' web interface for biologists that allows coverage visualization of the NGS alignment needed for the analysis. It combines two essential processes: (i) MAP2COV, a tool that converts the huge NGS mapping or coverage files into light specific coverage files which contains genetic elements informations. (ii) COV2HTML, a visualization interface allowing a real-time analysis of data with selected criteria. Thus this interface offers a visualization of NGS mapping coverage data (DNA-seq, RNA-seq, ChIP-seq and TSS) performed in different prokaryotic organisms (bacteria, viruses...) or different experimental conditions (mutant versus wild type strains or different growth states…) facilitating studies.

Welcome to CSV.jl! A pure-Julia package for handling delimited text data, be it comma-delimited (csv), tab-delimited (tsv), or otherwise. A fast, flexible delimited file reader/writer for Julia.

This project shows how to integrate NVIDIA CUDA GPU programming API into ITK (Insight Segmentation and Registration Toolkit) library

High-performance GPU programming in a high-level language. JuliaGPU is a GitHub organization created to unify the many packages for programming GPUs in Julia. With its high-level syntax and flexible compiler, Julia is well-positioned to productively program hardware accelerators like GPUs without sacrificing performance. The latest development version of CUDA.jl requires Julia 1.8 or higher. If you are using an older version of Julia, you need to use a previous version of CUDA.jl. This will happen automatically when you install the package using Julia's package manager.

The programming support for NVIDIA GPUs in Julia is provided by the CUDA.jl package. It is built on the CUDA toolkit and aims to be as full-featured and offer the same performance as CUDA C. The toolchain is mature, has been under development since 2014, and can easily be installed on any current version of Julia using the integrated package manager.

CViT - Chromosome Viewing Tool. A collection of Perl scripts that enable quick visualizations of features on linkage groups, psuedochromosomes or cytogenetic maps. Intended for whole-genome views of data but can be used to create images of single chromosomes/linkage groups, contigs, or BACs, or even proteins -- any feature that has a location on a backbone. Handles most standard genetic/genomic coordinate systems. Reads GFF3 data and produces a PNG or SVG image.